Human-Activity-Recognition
Activity recognition
A project to classify human activities using data from accelerometer and gyroscope sensors
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
98 stars
2 watching
96 forks
Language: Jupyter Notebook
last commit: almost 4 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
neuraxio/lstm-human-activity-recognition | An LSTM-based human activity recognition system using smartphone sensor data. | 3 |
andreas-bulling/actrectut | A toolkit providing a framework and tools for designing and evaluating activity recognition systems using inertial sensors. | 56 |
matghazaryan/somotiondetector | An iOS library that detects motion and counts user steps using location updates and acceleration data | 1,058 |
michigancog/m-pact | A framework for building and testing activity recognition models using deep learning techniques. | 107 |
yashpasar/brain-tumor-classification-and-detection-machine-learning | A machine learning project to classify brain tumor images into malignant and benign using image processing techniques | 39 |
laboratoryforplayfulcomputation/alpacaml | An app that combines wearable technology with machine learning to analyze and provide feedback on human movement and activity patterns | 6 |
cardmagic/classifier | A module for text classification using Bayesian and Latent Semantic Indexing algorithms | 660 |
guillaume-chevalier/har-stacked-residual-bidir-lstms | An implementation of a deep neural network architecture for Human Activity Recognition using stacked residual bidirectional LSTM cells with TensorFlow. | 319 |
wanglimin/untrimmednet | A system for recognizing and detecting actions in untrimmed videos using a weakly supervised learning approach. | 162 |
avenix/wdk | An environment for developing activity recognition applications with wearable devices | 145 |
lausbert/exermote | An iOS fitness app prototype that uses machine learning to detect and count various exercises based on movement data | 128 |
shahroudy/nturgb-d | A large-scale dataset for human action recognition | 758 |
keunwoochoi/icassp_2017 | A repository containing code and pre-trained models for music classification using Convolutional Recurrent Neural Networks. | 12 |
prashantgupta24/activity-tracker | A system to monitor and notify about various activities on a machine. | 28 |
mujx/hakatime | A server implementation and analytics dashboard for tracking user activity on GitHub. | 643 |